Zakiyah Ulfah
Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

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THE IMPACT OF AI TECHNOLOGY ON EARLY CHILDHOOD EDUCATION Zakiyah Ulfah; Nurbiah Rasyid
EDUCATIONAL : Jurnal Inovasi Pendidikan & Pengajaran Vol. 6 No. 4 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/educational.v6i4.11620

Abstract

The use of artificial intelligence (AI) technology in early childhood education offers opportunities to create more creative, interactive, enjoyable, and child-centered learning. However, its implementation also presents various challenges, such as reduced social interaction, data privacy risks, limited teacher competency, internet access, and costs. Therefore, proper supervision and implementation by teachers and parents are essential.This research aims to see the impact of implementing AI Technology in Early Childhood Education. Researchers collect data sources from various credible and relevant literature. The data search used the keywords impact, AI technology, and early childhood education. The data collected by the researcher is filtered according to the identified keywords. The data were analyzed thematically and presented in conclusions according to keywords. Data were systematically collected from Scopus-indexed journals and academic repositories between February 2 and February 14, 2024, resulting in a total of 20 final sources being selected. The results of the study show the positive and negative impacts of the use of AI Technology. The positive impact of the use of AI certainly makes it easier for teachers to learn, and some AI technologies could improve early childhood cognition and critical power, in addition to enabling them to train their social-emotional aspects. The finding was adverse in that early childhood experiences adaptive influences that continue to use AI technology, resulting in decreased physical and emotional intelligence. The obstacles and challenges that were identified in this study were incompetent teachers and inadequate facilities and infrastructure. For this reason, teachers continued to follow the improvement of their competencies, which would later support early childhood development. ABSTRAK Pemanfaatan teknologi kecerdasan buatan (AI) dalam pendidikan anak usia dini memberikan peluang untuk menciptakan pembelajaran yang lebih kreatif, interaktif, menyenangkan, dan sesuai dengan kebutuhan anak. Namun, penerapannya juga menghadirkan berbagai tantangan, seperti berkurangnya interaksi sosial, risiko privasi data, keterbatasan kompetensi guru, akses internet, serta biaya, sehingga diperlukan pengawasan dan penerapan yang tepat oleh guru dan orang tua. Penelitian ini bertujuan untuk melihat dampak penerapan Teknologi AI dalam Pendidikan Anak Usia Dini. Peneliti mengumpulkan sumber data dari berbagai literatur yang kredibel dan relevan. Pencarian data menggunakan kata kunci dampak, teknologi AI, dan pendidikan anak usia dini. Data yang dikumpulkan oleh peneliti disaring sesuai dengan kata kunci yang telah diidentifikasi. Data dianalisis secara tematik dan disajikan dalam kesimpulan sesuai dengan kata kunci. Hasil penelitian menunjukkan dampak positif dan negatif dari penggunaan Teknologi AI. Dampak positif dari penggunaan AI tentu saja memudahkan guru dalam belajar, dan beberapa teknologi AI dapat meningkatkan kognisi dan daya kritis anak usia dini, selain memungkinkan mereka untuk melatih aspek sosial-emosional mereka. Temuan yang negatif adalah pengalaman anak usia dini mengalami pengaruh adaptif yang terus menggunakan teknologi AI, yang mengakibatkan penurunan kecerdasan fisik dan emosional. Hambatan dan tantangan yang diidentifikasi dalam penelitian ini adalah guru yang kurang kompeten dan fasilitas serta infrastruktur yang tidak memadai. Oleh karena itu, guru terus mengikuti peningkatan kompetensi mereka, yang nantinya akan mendukung perkembangan anak usia dini.
Needs Analysis for Developing an Experiential Field Learning Model Based on Collaborative Problem Solving in Higher Education Zakiyah Ulfah; Maulida Ulfa Hidayah; Intan Nur Aini; Hardiyanti Pratiwi; Aghnaita Aghnaita; Zakiyah Ulfah; Maulida Ulfa Hidayah; Intan Nur Aini; Hardiyanti Pratiwi; Aghnaita
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 7 No. 4 (2027)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v7.i4.2027.9

Abstract

Higher education should be able to connect academic knowledge with the real world and further enhance collaboration and problem-solving skills. This study was conducted to identify the need to develop an Experience Field Learning model based on Collaboration and Problem Solving at three State Islamic Universities in Kalimantan. This study employs a needs analysis design using a mixed-methods approach to examine existing learning practices and identify the need to develop an experience-based field learning model. This research was conducted in several education study program at these universities. Participants were students and faculty members involved in environmental and field-based learning, selected purposively based on their relevant academic experiences. Collecting data through questionnaires, interviews, observations, and a review of curriculum documents involving students and faculty. The data were described quantitatively and interpreted thematically using qualitative methods to reveal current learning conditions, the characteristics of the desired model, and implementation requirements. The research findings indicate that instruction within the studied programs at several State Islamic Universities in Kalimantan has incorporated discussions, assignments, and practical activities; however, field experiences have not yet been fully structured as an integral part of the learning process. Students need more contextual learning through direct experience, utilization of local environments and resources, identifying real problems, collaboration, reflection, and application of concepts in field contexts. These findings serve as the basis for developing an Experience-Based Field Learning model that integrates concrete experience, collaborative problem-solving, reflection, the use of local resources, and digital technology support.